Next Article in Journal
Transmissibility and Persistence of the Plasmid-Borne Mobile Colistin Resistance Gene, mcr-1, Harbored in Poultry-Associated E. coli
Next Article in Special Issue
Characteristics of Antibiotic Resistance and Tolerance of Environmentally Endemic Pseudomonas aeruginosa
Previous Article in Journal
Biofilm Formation of Staphylococcus aureus from Pets, Livestock, and Wild Animals: Relationship with Clonal Lineages and Antimicrobial Resistance
Previous Article in Special Issue
Autoinducer Analogs Can Provide Bactericidal Activity to Macrolides in Pseudomonas aeruginosa through Antibiotic Tolerance Reduction
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

pruR and PA0065 Genes Are Responsible for Decreasing Antibiotic Tolerance by Autoinducer Analog-1 (AIA-1) in Pseudomonas aeruginosa

1
Department of Oral Microbiology, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima 770-8504, Japan
2
Department of Clinical Nutrition, Faculty of Health Science and Technology, Kawasaki University of Medical Welfare, Kurashiki 701-0193, Japan
3
Department of Biology, Keio University School of Medicine, Yokohama 223-8521, Japan
*
Author to whom correspondence should be addressed.
Antibiotics 2022, 11(6), 773; https://doi.org/10.3390/antibiotics11060773
Submission received: 13 May 2022 / Revised: 30 May 2022 / Accepted: 3 June 2022 / Published: 6 June 2022
(This article belongs to the Special Issue Antibiotic Tolerance in Pseudomonas aeruginosa)

Abstract

:
Pseudomonas aeruginosa infection is considered a high-risk nosocomial infection and is very difficult to eradicate because of its tolerance to antibiotic treatment. A new compound, autoinducer analog-1 (AIA-1), has been demonstrated to reduce antibiotic tolerance, but its mechanisms remain unknown. This study aimed to investigate the mechanisms of AIA-1 in the antibiotic tolerance of P. aeruginosa. A transposon mutant library was constructed using miniTn5pro, and screening was performed to isolate high tolerant mutants upon exposure to biapenem and AIA-1. We constructed a deletion mutant and complementation strain of the genes detected in transposon insertion site determination, pruR and PA0066-65-64, and performed killing assays with antibiotics and AIA-1. Gene expression upon exposure to biapenem and AIA-1 and their relationship to stress response genes were analyzed. High antibiotic tolerance was observed in Tn5-pruR and Tn5-PA0065 transposon mutants and their deletion mutants, ΔpruR and ΔPA0066-65-64. Complemented strains of pruR and PA0066-65-64 with their respective deletion mutants exhibited suppressed antibiotic tolerance. It was determined that deletion of PA0066-65-64 increased rpoS expression, and PA0066-65-64 affects antibiotic tolerance via the rpoS pathway. Additionally, antibiotics and AIA-1 were found to inhibit pruR and PA0066-65-64. This study proposed that pruR and PA0066-65-64 are members of the antibiotic tolerance suppressors.

1. Introduction

Antibiotic resistance poses a significant threat to global public health. Antibiotics are one of the most powerful tools for fighting life-threatening infections, but resistance constantly undermines their efficacy [1,2]. Antibiotic resistance is defined as the ability of microorganisms to grow at high concentrations of antibiotics, marked by a substantial increase in the minimum inhibitory concentration (MIC) [3]. Furthermore, antibiotic resistance disturbs progress in healthcare, food production, and life expectancy [2].
Moreover, antibacterial chemotherapy often fails to eradicate pathogens despite being sensitive to antibiotics, which could be caused by antibiotic tolerance [4]. Antibiotic tolerance is the ability of bacteria to maintain viability while ceasing growth in the transient doses of lethal antibiotic exposure [5]. While resistant microorganisms are characterized by a significant increase in MIC, tolerant microorganisms exhibit no changes in MIC [3,6]. The relationship between antibiotic resistance and tolerance remains unclear.
Antibiotic-resistant strains can emerge from enhanced antibiotic tolerance by cyclic antibiotic treatments [7]. In the clinical setting, bacteria isolated from patients with chronic cystic fibrosis who underwent recurrent antibiotic exposure displayed rapid development of antibiotic tolerance, which subsequently became resistance [8]. Pseudomonas aeruginosa (P. aeruginosa) is classified as a serious threat to public health, causing approximately 32,600 cases of hospitalized patients, 2700 deaths, and 767 million dollars in healthcare costs in the United States in 2017 [2]. P. aeruginosa infection is considered a high-risk nosocomial infection associated with high mortality, and is particularly dangerous for patients with chronic lung disease and immunosuppressed patients [2,9,10].
P. aeruginosa infection is difficult to eradicate because of its tolerance to antibiotics [4]. Several mechanisms, such as the two-component system, carbon metabolism, iron regulation, and stress response, are involved in antibiotic tolerance of P. aeruginosa [11]. Other studies have shown that nutrient starvation [12], stringent response [13], and stress response [14] mediate tolerance formation in P. aeruginosa.
Quorum sensing (QS) is a bacterial cell-to-cell communication mechanism that regulates virulence gene expression in a cell density-dependent manner [15]. It involves the emission of N-acyl homoserine lactone, an autoinducer (AI), to activate a transcription factor that functions as an activator of gene expression [16,17]. An analog of this autoinducer, autoinducer analog-1 (AIA-1), has been demonstrated to reduce antibiotic tolerance and enhance the antibacterial activity of various antibiotics, such as biapenem, levofloxacin, and several macrolides, without affecting their MIC and without directly affecting QS [18,19]. However, the mechanisms underlying AIA-1 activity remain unclear. This study aimed to investigate the mechanisms by which AIA-1 decreases antibiotic tolerance, including the genes that are affected by this compound and their dynamics in the antibiotic tolerance mechanisms of P. aeruginosa.

2. Results

2.1. Two Transposon Mutants Exhibited High Antibiotic Tolerance

Transposon mutant library construction was successfully performed by mating wild-type P. aeruginosa (PAO1) with Escherichia coli harboring miniTn5pro. More than 3700 PAO1-Tn5 mutants were screened in the presence of biapenem and AIA-1. Two mutants, Tn5-pruR and Tn5-PA0065, with high antibiotic tolerance were selected for further study. High antibiotic tolerance was defined as a survival rate that was at least 10 times higher than that of PAO1 after exposure to a combination of antibiotics and AIA-1. These mutants were named based on their transposon insertion site determination.
Tn5-pruR and Tn5-PA0065 had 316 and 967 times higher survival rates than those of PAO1, respectively, after exposure to biapenem and AIA-1. These results demonstrate that the disruption of pruR and PA0065 by Tn5 also disrupts the function of AIA-1 in reducing antibiotic tolerance, resulting in high antibiotic tolerance even after exposure to biapenem and AIA-1. The survival rates of PAO1 and the selected mutants are shown in Figure 1.
Transposon insertion site determination revealed that the Tn5-pruR mutant exhibited the Tn5 insertion in the pruR gene, which encodes the proline utilization regulator. Tn5-PA0065 exhibited the Tn5 insertion in the PA0065 gene, a gene member of the PA0066-65-64 operon. Each member of the operon encodes a hypothetical protein. The amino acid sequence of each member of this operon was uploaded to the protein BLAST website (blast.ncbi.nlm.nih.gov/Blast.cgi, accessed on 22 March 2022). We found that PA0066 encodes a gamma carbonic anhydrase family protein, PA0065 encodes a haloacid dehalogenase (HAD) family hydrolase, and PA0064 encodes a putative membrane protein.

2.2. Antibiotic Susceptibility of Transposon Mutants and Deletion Mutants

The MIC and minimum bactericidal concentration (MBC) of biapenem, levofloxacin, tobramycin, and AIA-1 to PAO1; the transposon mutants; and deletion mutants were measured. All tested antibiotics, as well as AIA-1, had comparable MIC and MBC to PAO1, the transposon mutants, and deletion mutants, as indicated in Table 1. These results demonstrated that there was no resistance formation upon the mutation of pruR, PA0065, or the PA0066-65-64 operon.

2.3. High Antibiotic Tolerance of Deletion Mutants

To elucidate the role of pruR and PA0066-65-64 in AIA-1 mechanisms and their relation to antibiotic tolerance, a killing assay with antibiotics, or a combination of antibiotics and AIA-1, was performed. ΔpruR and ΔPA0066-65-64 exhibited high antibiotic tolerance when exposed to antibiotics and AIA-1. The survival rates of ΔpruR and ΔPA0066-65-64 were 58 and 85 times higher than those of PAO1 (Figure 2A) after biapenem (32 mg/L) and AIA-1 (32 mg/L) exposure, respectively, and 111 and 160 times higher than those of PAO1 after exposure to levofloxacin (4 mg/L) and AIA-1 (Figure 2B), respectively. The survival rate of both deletion mutants was almost the same as those of PAO1 in the tobramycin killing assay (Figure 2C).

2.4. Antibiotic Tolerance of the Complemented Strains

To further investigate the role of these genes in antibiotic tolerance, a complemented strain of each deletion mutant was constructed and a killing assay was performed with biapenem and levofloxacin. The ΔpruR/pruR and ΔPA0066-65-64/PA0066-65-64 complemented strains had 5800 times (Figure 3A) and 478 times (Figure 3B) lower survival rates than each of its vector controls, respectively, in the killing assay with biapenem and AIA-1. The survival rates of both complemented strains were comparable to those of the PAO1 vector control after exposure to biapenem and AIA-1.
The same pattern was observed in the levofloxacin killing assay, although a lower killing effect was observed in the ΔpruR/pruR complemented strain. The killing assay with a combination of levofloxacin and AIA-1 for the pruR complemented strain resulted in only a seven times lower survival rate than its vector control (Figure 3C), whereas the PA0066-65-64 complemented strain exhibited a 46 times lower survival rate than its vector control (Figure 3D). The survival rate of the ΔPA0066-65-64/PA0066-65-64 strain was comparable to those of the PAO1 vector control after exposure to levofloxacin and AIA-1. These results demonstrate that pruR and PA0066-65-64 play a role in suppressing antibiotic tolerance.

2.5. Gene Expression of pruR and PA0066-65-64 Genes

Quantitative real-time PCR (qRT-PCR) was performed to investigate pruR and PA0066-65-64 expression in PAO1 upon exposure to biapenem (32 mg/L) and AIA-1 (32 mg/L). Interestingly, similar expression patterns were observed for pruR and PA0066-65-64. The expression of both genes was significantly lower in the biapenem group, as well as in the AIA-1 group compared to the control group. The combination of biapenem and AIA-1 restored the expression of both genes, although their expression levels were comparable to those of the control group (Figure 4A,B). These results show that biapenem and AIA-1 inhibited pruR and PA0066-65-64.
Further analysis was performed to elucidate the relationship between pruR and PA0066-65-64 with the rpoS gene. The rpoS gene is known as a regulator of P. aeruginosa antibiotic tolerance in the stationary phase and under heat stress [14]. qRT-PCR analysis revealed that after 12 h of culture, rpoS expression in ΔPA0066-65-64 was significantly higher than that in PAO1. rpoS expression in ΔpruR was comparable to that in PAO1 (Figure 4C).

3. Discussion

Analogs of P. aeruginosa autoinducers were first described by Smith et al. [20] A library of autoinducer analogs was generated by modifying homoserine lactone (HSL) in acyl-HSL with various amines and alcohols. Several autoinducer analogs have been described to have agonist and antagonist activities in the quorum-sensing system [21]. Another study also found agonist and antagonist effects of N-acyl L-homoserine lactone analogs in P. aeruginosa specific to LasR and QscR system receptors [22].
N-Acyl cyclopentylamides, another analog of autoinducers, has been demonstrated to inhibit QS in P. aeruginosa [23]. The autoinducer analog-1 (AIA-1) of P. aeruginosa, which was used in this study, had the ability to reduce antibiotic tolerance and enhance the antibacterial activity of antibiotics, but did not inhibit the QS system of P. aeruginosa [18,19]. However, the mechanisms by which AIA-1 affects antibiotic tolerance remain unclear.
In the present study, we identified pruR and PA0065 genes, which are closely associated with antibiotic tolerance that is affected by AIA-1, through PAO1-Tn5 transposon mutant screening. Tn5-pruR exhibits a transposon insertion site on the pruR gene, which encodes a proline utilization regulator. This gene was shown to regulate the virulence of the P. aeruginosa PAK strain under high concentrations of proline and glutamate [24]. Tn5-PA0065 has a transposon insertion site on the PA0065 gene, a member of the PA0066-65-64 operon. Amino acid sequence BLAST analysis revealed that the PA0066 amino acid sequence encodes gamma carbonic anhydrase (CA), PA0065 encodes haloacid dehalogenase (HAD) family hydrolase, and PA0064 encodes a putative membrane protein.
Gamma CA was characterized from E. coli and catalyzes the CO2 hydratase reaction to bicarbonate and protons [25]. This enzyme has also been characterized in another Pseudomonas species: Pseudomonas fragi [26]. The HAD family hydrolase has been characterized in E. coli as an enzyme that improves sorbitol production in recombinant/engineered cyanobacteria [27,28]. However, no studies have described PA0064 or its putative protein product.
These genes are potentially linked to AIA-1 mechanisms of antibiotic tolerance. This study is the first to analyze AIA-1 mechanisms in affecting antibiotic tolerance via these genes, and the first to elucidate the role of pruR and PA0066-65-64 in antibiotic tolerance. Deletion mutants of pruR and PA0066-65-64 exhibited high antibiotic tolerance to biapenem and levofloxacin, implying that both genes are linked to AIA-1 in reducing antibiotic tolerance. Exposure to ampicillin and ofloxacin has been demonstrated to induce overlapping changes in gene expression profiles [29]. This explains the pattern observed in our study, where biapenem and levofloxacin had similar effects on our strains.
The high antibiotic tolerance properties in the transposon and deletion mutants of pruR and PA0066-65-64 prompted us to propose these genes as members of the antibiotic tolerance suppressor family. Taniguchi et al. reported a gene, tcp (PA0561), that has a suppressive role in antibiotic tolerance. Deletion of tcp resulted in a significantly higher survival rate after carbapenem exposure compared to that of the parental strain [30].
To confirm this phenomenon, pruR and PA0066-65-64 genes were complemented to their respective deletion mutants. Complementation of pruR and PA0066-65-64 eliminated the high antibiotic tolerance property of their deletion mutants, reducing their survival rate to a level comparable to that of the PAO1 vector control. This event confirmed that pruR and PA0066-65-64 are antibiotic tolerance suppressors. However, in the pruR complemented strain, exposure to levofloxacin and AIA-1 only resulted in a seven times lower survival rate than that of the vector control. Thus, pruR may partially regulate levofloxacin tolerance in P. aeruginosa.
To determine the mechanisms involved in the interaction of pruR and PA0066-65-64 with AIA-1, qRT-PCR was performed to detect the expression of these genes in PAO1 under exposure to biapenem and AIA-1. Biapenem and AIA-1 significantly inhibited the expression of both genes in the wild-type P. aeruginosa. The combination of biapenem and AIA-1 restored the expression of both genes, although only to a level comparable to that of the control. Therefore, other genes may be involved in antibiotic tolerance suppression.
The rpoS gene has been described as the master regulator of antibiotic tolerance against biapenem, imipenem, ofloxacin, and other sources of stress such as heat and osmotic stress [14,31]. We previously reported that rpoS expression was clearly repressed by the addition of AIA-1, and that this repression partially affects antibiotic tolerance [18,19]. In this study, we focused on the relationship between pruR and PA0066-65-64 with the rpoS gene. Our results demonstrated that ΔPA0066-65-64 exhibited higher expression of rpoS than PAO1, whereas in ΔpruR, the expression was comparable to that of PAO1. The absence of PA0066-65-64 increased the expression of rpoS gene. Based on these findings, PA0066-65-64 may inhibit rpoS in decreasing antibiotic tolerance, albeit partially. In other words, antibiotic tolerance suppression factors may inhibit antibiotic tolerance by directly or partially inhibiting rpoS. Thus, inhibition of rpoS either directly by AIA-1 or via an antibiotic tolerance suppressor factor resulted in a higher killing effect of antibiotics.
In conclusion, our study proposed pruR and PA0066-65-64 as members of the antibiotic tolerance suppressor family. These genes were inhibited by antibiotics and AIA-1, whereas the combination of antibiotics and AIA-1 restored gene expression to a level comparable to that of the control, suggesting that there are more genes involved in antibiotic tolerance suppression. PA0066-65-64 had the function of partially inhibiting stress response genes. Further studies in the future should investigate the effects of antibiotics and AIA-1 on the gene products of pruR and PA0066-65-64.

4. Materials and Methods

4.1. Reagents

The autoinducer analog-1 used in this study was N-(piperidin-4-yl)-dodecanamide [18]. Biapenem was purchased from Meiji Seika Pharma Co. Ltd. (Tokyo, Japan). Gentamicin was purchased from the Wako Pure Chemical Corporation (Osaka, Japan). Levofloxacin was purchased from Sigma-Aldrich (St. Louis, MO, USA). Tobramycin was purchased from LKT Laboratories Inc. (St. Paul, MN, USA).

4.2. Bacterial Strains and Growth Condition

The bacterial strains and plasmids used in the present study are listed in Table S1 (Supplementary Materials). Bacteria were grown in lysogeny broth (LB) medium (for P. aeruginosa PAO1 and deletion mutants), LB supplemented with 20 mg/L and 200 mg/L gentamicin (for E. coli and P. aeruginosa PAO1-Tn5 mutant, respectively), or LB supplemented with 0.2% arabinose (for complemented strains)

4.3. Primers

Primers used in this study are listed in Table S2 (Supplementary Materials). Primers for bacterial strain construction were designed using the In-Fusion® Primer Design tool (Web tool, https://www.takara-bio.co.jp/research/infusion_primer/infusion_primer_form.php, accessed on 4 June 2020) (Takara, Shiga, Japan) and primers for qRT-PCR were designed using the Primer Express® 3.0 software (Applied Biosystems, Foster City, CA, USA).

4.4. Bacterial Strains Construction

4.4.1. Transposon Mutants

Transposon mutagenesis was performed by mating wild-type P. aeruginosa (PAO1) with E. coli S17-1-λ pir harboring the pUT-miniTn5pro [32]. It consists of gentamicin-resistant genes and the R6Kγ ori region, which is a useful region for insertion site detection. Vogel-Bonner minimal medium plates, containing 200 mg/L gentamicin, were used for mutant selection. This mating produced transposon mutants referred to as PAO1-Tn5 mutants.

4.4.2. Deletion Mutant

The deletion mutant strain was generated as previously described [18]. Briefly, 500 base pairs from the upstream and downstream region of the target gene were amplified from the PAO1 genomic DNA. An In-Fusion Cloning Kit (Takara, Shiga, Japan) was used to linearize both amplified fragments in a BamHI-EcoRI-digested pEX18Gm vector [33]. The infusion plasmid was transformed into E. coli XL2-Blue Ultracompetent cells (Agilent Technologies, Santa Clara, CA, USA) for plasmid propagation. A deletion mutant was obtained by mobilizing the infusion plasmid from E. coli S17-1 to PAO1 by mating. Deletion mutants were selected based on gentamicin susceptibility and loss of sucrose susceptibility. Construction of the deletion mutant was confirmed by sequencing.

4.4.3. Complementation Strain

The gene target was amplified and aligned to the SpeI-HF-SacI-HF-digested pJN105 vector, which contains an arabinose-inducible promoter [34]. The aligned plasmids were transformed into E. coli NEB 5α, and the propagated plasmids were electroporated into E. coli S17-1. Subsequent mating with the deletion mutant produced a complemented strain. A vector control strain was also constructed by inserting an intact pJN105 plasmid into the deletion mutant and PAO1 through the aforementioned process.

4.5. Screening of Transposon Mutants

4.5.1. Initial Screening

The PAO1-Tn5 mutants were picked from the selection plates and grown in 200 μL LB supplemented with 200 mg/L gentamicin inside multi-well tissue culture test plates (96-well plates, Zellkulturtestplate 96U, TPP, Trasadingen, Switzerland). Cells were grown to the stationary phase, achieved by overnight incubation at 37 °C with aeration. The samples were inoculated into 200 μL fresh liquid medium and then grown to the middle of the log phase (OD595 of 0.15–0.2). Biapenem and AIA-1 were added at a concentration of 32 mg/L. After 24 h of incubation, 10 µL of each sample was subcultured on LB agar plates. Mutants that exhibited significant colony growth after exposure to biapenem and AIA-1 were selected for the final screening.

4.5.2. Final Screening

The same culture conditions were applied as in the initial screening, except that, in this step, the mutants were grown in 3 mL liquid medium inside a 15 mL conical centrifuge tubes (Thermo Fisher Scientific, Rochester, NY, USA). Biapenem or a combination of biapenem and AIA-1 at a concentration of 32 mg/L was added. Viable cell counts were determined before and after drug addition by subculturing 100 μL the sample on LB agar plates. By assuming that the colony-forming units (CFU) were 100% of the CFU value on plates subcultured before drug addition, mutant survival was quantified. Mutants that exhibited high antibiotic tolerance despite the presence of biapenem and AIA-1 were selected. High antibiotic tolerance was defined as a survival rate of up to 10 times or higher than that of PAO1 after exposure to a combination of biapenem and AIA-1.

4.6. Transposon Insertion Site Determination

The method for determining the site of pUT-miniTn5pro insertion has been previously described by Siehnel et al. [32]. The following modifications were applied in this study: (i) the KpnI restriction enzyme was used, (ii) E. coli JM109-λ pir competent cells were used for ligation mixture transformation, and (iii) LB agar supplemented with 20 mg/L gentamicin was used as the selection medium. Self-ligated plasmids from the colonies were isolated using the GenEluteTM Plasmid Miniprep Kit (Sigma Aldrich, St. Louis, MI, USA) and then sequenced using primers that annealed to the transposon and chromosome transposition junction. The Pseudomonas Genome Database (www.pseudomonas.com, accessed on 13 May 2020) [35] was used to determine the sequence location throughout the P. aeruginosa chromosomal sequence using BLAST sequence analysis.

4.7. Susceptibility Assay

The MIC and MBC of biapenem, levofloxacin, tobramycin, and AIA-1 were determined using the standard microbroth dilution method [36].

4.8. Killing Assay

The deletion mutant and PAO1 were grown in 3 mL LB medium inside a 15 mL conical centrifuge tubes to the mid-log phase (OD595 of 0.15–0.20). The following antibiotics and drugs were used in this assay: biapenem (32 mg/L), levofloxacin (4 mg/L), tobramycin (32 mg/L), and AIA-1 (32 mg/L). Survival rates were quantified 24 h (biapenem) or 4 h (levofloxacin and tobramycin) after drug addition.
Killing assay on the complemented strains was performed with the same condition as aforementioned protocol. Complemented strains were grown in 3 mL LB supplemented with 0.2% arabinose. Biapenem (32 mg/L), levofloxacin (4 mg/L), and AIA-1 (32 mg/L) were used in this assay.

4.9. Quantitative RT-PCR

4.9.1. pruR and PA0066-65-64 Expression Analysis

PAO1 was grown in 10 mL LB broth inside a 50 mL conical centrifuge tubes (Thermo Fisher Scientific, Rochester, NY, USA) until the late log phase (OD595 = 0.3). Biapenem, AIA-1, or a combination of both were added. The samples were collected before and 8 h after drug administration. Prior to RNA isolation, the samples were protected with the RNAprotect® Bacteria Reagent (Qiagen, Tokyo, Japan). Total RNA isolation was performed under RNase-free conditions using a Nucleospin RNA isolation kit (Macherey-Nagel, Düren, Germany), and reverse transcription was performed using PrimeScriptTM RT reagent kit with gDNA Eraser (Perfect Real Time) (Takara, Shiga, Japan). A StepOnePlusTM Real-Time PCR System with FAST SYBR® Green Master Mix (Thermo Fisher Scientific, Vilnius, Lithuania) was used for qRT-PCR. pruR and PA0066-65-64 expression were analyzed using rpsL as the internal control.

4.9.2. Stress Response Gene Expression Analysis

PAO1, ΔpruR and ΔPA0066-65-64 were grown under the same culture conditions described above. The samples were collected before and 12 h after inoculation. This procedure was performed without the addition of any drug. RNA isolation and qRT-PCR were performed as previously described, and rpoS expression in each strain was analyzed.

4.10. Statistical Analysis

All statistical analyses were performed using GraphPad Prism 9.3.1 (GraphPad Software, Inc., San Diego, CA, USA). Data are presented as mean and standard deviation. Data were analyzed using one-way ANOVA, and the p value was set at p < 0.05.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/antibiotics11060773/s1, Table S1: Bacterial strains and plasmids; Table S2: Primers used in this study.

Author Contributions

Conceptualization, K.M. and H.F.; data curation, M.R.P.; formal analysis, M.R.P. and Y.H.; writing—original draft preparation, M.R.P.; writing—review and editing, M.R.P., K.M., A.M. and H.F.; visualization, M.R.P. and Y.H. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported by Otsuka Chemical Co., Ltd.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Acknowledgments

Authors would like to acknowledge Yuta Kita and Rina Murata for providing technical support during data collection.

Conflicts of Interest

Authors declare that there are no conflict of interest associated with this manuscript. The funders had no role in the design of the study, in the collection, analysis, or interpretation of data, in the writing of the manuscript, or in the decision to publish the results.

References

  1. Meylan, S.; Andrews, I.W.; Collins, J.J. Targeting Antibiotic Tolerance, Pathogen by Pathogen. Cell 2018, 172, 1228–1238. [Google Scholar] [CrossRef] [Green Version]
  2. CDC. Antibiotic Resistance Threats in the United States; Department of Health and Human Services: Atlanta, GA, USA, 2019. [CrossRef] [Green Version]
  3. Brauner, A.; Fridman, O.; Gefen, O.; Balaban, N.Q. Distinguishing between resistance, tolerance and persistence to antibiotic treatment. Nat. Rev. Microbiol. 2016, 14, 320–330. [Google Scholar] [CrossRef]
  4. Zhu, K.; Chen, S.; Sysoeva, T.; You, L. Universal antibiotic tolerance arising from antibiotic-triggered accumulation of pyocyanin in Pseudomonas aeruginosa. PLoS Biol. 2019, 17, e3000573. [Google Scholar] [CrossRef]
  5. Handwerger, S.; Tomasz, A. Antibiotic Tolerance Among Clinical Isolates of Bacteria. Ann. Rev. Pharmacol. Toxicol. 1985, 7, 368–386. [Google Scholar] [CrossRef]
  6. Balaban, N.Q.; Helaine, S.; Lewis, K.; Ackermann, M.; Aldridge, B.; Andersson, D.I.; Brynildsen, M.P.; Bumann, D.; Camilli, A.; Collins, J.J.; et al. Definitions and guidelines for research on antibiotic persistence. Nat. Rev. Genet. 2019, 17, 441–448. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Levin-Reisman, I.; Ronin, I.; Gefen, O.; Braniss, I.; Shoresh, N.; Balaban, N.Q. Antibiotic tolerance facilitates the evolution of resistance. Science 2017, 355, 826–830. [Google Scholar] [CrossRef]
  8. Santi, I.; Manfredi, P.; Maffei, E.; Egli, A.; Jenal, U. Evolution of Antibiotic Tolerance Shapes Resistance Development in Chronic Pseudomonas aeruginosa Infections. mBio 2021, 12, e03482-20. [Google Scholar] [CrossRef]
  9. Höffken, G.; Niederman, M.S. The Importance of a De-escalating Strategy for Antibiotic Treatment of Pneumonia in the ICU. Chest 2002, 122, 2183–2196. [Google Scholar] [CrossRef]
  10. Sadikot, R.T.; Blackwell, T.S.; Christman, J.W.; Prince, A.S. Pathogen–Host Interactions in Pseudomonas aeruginosa Pneumonia. Am. J. Respir. Crit. Care Med. 2005, 171, 1209–1223. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  11. Murakami, K.; Ono, T.; Noma, Y.; Minase, I.; Amoh, T.; Irie, Y.; Hirota, K.; Miyake, Y. Explorative gene analysis of antibiotic tolerance-related genes in adherent and biofilm cells of Pseudomonas aeruginosa. J. Infect. Chemother. 2017, 23, 271–277. [Google Scholar] [CrossRef]
  12. Nguyen, D.; Joshi-Datar, A.; Lepine, F.; Bauerle, E.; Olakanmi, O.; Beer, K.; McKay, G.; Siehnel, R.; Schafhauser, J.; Wang, Y.; et al. Active Starvation Responses Mediate Antibiotic Tolerance in Biofilms and Nutrient-Limited Bacteria. Science 2011, 334, 982–986. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Martins, D.; McKay, G.; Sampathkumar, G.; Khakimova, M.; English, A.M.; Nguyen, D. Superoxide dismutase activity confers (p)ppGpp-mediated antibiotic tolerance to stationary-phase Pseudomonas aeruginosa. Proc. Natl. Acad. Sci. USA 2018, 115, 9797–9802. [Google Scholar] [CrossRef] [Green Version]
  14. Murakami, K.; Ono, T.; Viducic, D.; Kayama, S.; Mori, M.; Hirota, K.; Nemoto, K.; Miyake, Y. Role for rpoS gene of Pseudomonas aeruginosa in antibiotic tolerance. FEMS Microbiol. Lett. 2005, 242, 161–167. [Google Scholar] [CrossRef] [Green Version]
  15. Pearson, J.P.; Pesci, E.C.; Iglewski, B.H. Roles of Pseudomonas aeruginosa las and rhl quorum-sensing systems in control of elastase and rhamnolipid biosynthesis genes. J. Bacteriol. 1997, 179, 5756–5767. [Google Scholar] [CrossRef] [Green Version]
  16. Schuster, M.; Greenberg, E.P. A network of networks: Quorum-sensing gene regulation in Pseudomonas aeruginosa. Int. J. Med. Microbiol. 2006, 296, 73–81. [Google Scholar] [CrossRef]
  17. Lee, J.; Zhang, L. The hierarchy quorum sensing network in Pseudomonas aeruginosa. Protein Cell 2015, 6, 26–41. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  18. Amoh, T.; Murakami, K.; Kariyama, R.; Hori, K.; Viducic, D.; Hirota, K.; Igarashi, J.; Suga, H.; Parsek, M.R.; Kumon, H.; et al. Effects of an autoinducer analogue on antibiotic tolerance in Pseudomonas aeruginosa. J. Antimicrob. Chemother. 2017, 72, 2230–2240. [Google Scholar] [CrossRef] [PubMed]
  19. Abe, M.; Murakami, K.; Hiroshima, Y.; Amoh, T.; Sebe, M.; Kataoka, K.; Fujii, H. Autoinducer Analogs Can Provide Bactericidal Activity to Macrolides in Pseudomonas aeruginosa through Antibiotic Tolerance Reduction. Antibiotics 2021, 11, 10. [Google Scholar] [CrossRef]
  20. Smith, K.M.; Bu, Y.; Suga, H. Induction and Inhibition of Pseudomonas aeruginosa Quorum Sensing by Synthetic Autoinducer Analogs. Chem. Biol. 2003, 10, 81–89. [Google Scholar] [CrossRef] [Green Version]
  21. Smith, K.M.; Bu, Y.; Suga, H. Library Screening for Synthetic Agonists and Antagonists of a Pseudomonas aeruginosa Autoinducer. Chem. Biol. 2003, 10, 563–571. [Google Scholar] [CrossRef] [Green Version]
  22. Boursier, M.E.; Manson, D.E.; Combs, J.B.; Blackwell, H.E. A comparative study of non-native N-acyl L-homoserine lactone analogs in two Pseudomonas aeruginosa quorum sensing receptors that share a common native ligand yet inversely regulate virulence. Bioorg. Med. Chem. 2018, 26, 5336–5342. [Google Scholar] [CrossRef]
  23. Ishida, T.; Ikeda, T.; Takiguchi, N.; Kuroda, A.; Ohtake, H.; Kato, J. Inhibition of Quorum Sensing in Pseudomonas aeruginosa by N-Acyl Cyclopentylamides. Appl. Environ. Microbiol. 2007, 73, 3183–3188. [Google Scholar] [CrossRef] [Green Version]
  24. Zheng, R.; Feng, X.; Wei, X.; Pan, X.; Liu, C.; Song, R.; Jin, Y.; Bai, F.; Jin, S.; Wu, W.; et al. PutA Is Required for Virulence and Regulated by PruR in Pseudomonas aeruginosa. Front. Microbiol. 2018, 9, 548. [Google Scholar] [CrossRef]
  25. Del Prete, S.; Bua, S.; Supuran, C.T.; Capasso, C. Escherichia coli γ-carbonic anhydrase: Characterisation and effects of simple aromatic/heterocyclic sulphonamide inhibitors. J. Enzym. Inhib. Med. Chem. 2020, 35, 1545–1554. [Google Scholar] [CrossRef]
  26. Sharma, A.; Bhattacharya, A.; Shrivastava, A. Biomimetic CO2 sequestration using purified carbonic anhydrase from indigenous bacterial strains immobilized on biopolymeric materials. Enzym. Microb. Technol. 2011, 48, 416–426. [Google Scholar] [CrossRef] [PubMed]
  27. Chin, T.; Okuda, Y.; Ikeuchi, M. Improved sorbitol production and growth in cyanobacteria using promiscuous haloacid dehalogenase-like hydrolase. J. Biotechnol. 2019, 306S, 100002. [Google Scholar] [CrossRef]
  28. Chin, T.; Ikeuchi, M. Detection of active sorbitol-6-phosphate phosphatase in the haloacid dehalogenase-like hydrolase superfamily. J. Gen. Appl. Microbiol. 2018, 64, 248–252. [Google Scholar] [CrossRef] [Green Version]
  29. Kaldalu, N.; Mei, R.; Lewis, K. Killing by Ampicillin and Ofloxacin Induces Overlapping Changes in Escherichia coli Transcription Profile. Antimicrob. Agents Chemother. 2004, 48, 890–896. [Google Scholar] [CrossRef] [Green Version]
  30. Taniguchi, K.; Ono, T.; Murakami, K.; Viducic, D.; Kayama, S.; Hirota, K.; Nemoto, K.; Miyake, Y. Novel Pseudomonas aeruginosa Gene That Suppresses Tolerance to Carbapenems. Antimicrob. Agents Chemother. 2003, 47, 2997–3001. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  31. Kayama, S.; Murakami, K.; Ono, T.; Ushimaru, M.; Yamamoto, A.; Hirota, K.; Miyake, Y. The role of rpoS gene and quorum-sensing system in ofloxacin tolerance in Pseudomonas aeruginosa. FEMS Microbiol. Lett. 2009, 298, 184–192. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Hoang, R.; Traxler, B.; An, D.D.; Parsek, M.R.; Schaefer, A.L.; Singh, P.K. A unique regulator controls the activation threshold of quorum-regulated genes in Pseudomonas aeruginosa. Proc. Natl. Acad. Sci. USA 2010, 107, 7916–7921. [Google Scholar] [CrossRef] [Green Version]
  33. Hoang, T.T.; Karkhoff-Schweizer, R.R.; Kutchma, A.J.; Schweizer, H.P. A broad-host-range Flp-FRT recombination system for site-specific excision of chromosomally-located DNA sequences: Application for isolation of unmarked Pseudomonas aeruginosa mutants. Gene 1998, 212, 77–86. [Google Scholar] [CrossRef]
  34. Newman, J.R.; Fuqua, C. Broad-host-range expression vectors that carry the L-arabinose-inducible Escherichia coli araBAD promoter and the araC regulator. Gene 1999, 227, 197–203. [Google Scholar] [CrossRef]
  35. Winsor, G.L.; Griffiths, E.J.; Lo, R.; Dhillon, B.K.; Shay, J.A.; Brinkman, F.S.L. Enhanced annotations and features for comparing thousands of Pseudomonas genomes in the Pseudomonas genome database. Nucleic Acids Res. 2015, 44, D646–D653. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Clinical and Laboratory Standards Institute. Methods for Dilution Antimicrobial Susceptibility Tests for Bacteria That Grow Aerobically, 11th ed.; CLSI standard M07; Clinical and Laboratory Standards Institute: Wayne, PA, USA, 2018. [Google Scholar]
Figure 1. The survival rate of PAO1, Tn5-pruR, and Tn5-PA0065 in a killing assay using biapenem (32 mg/L) and a combination of biapenem and autoinducer analog-1 (AIA-1) (32 mg/L). Error bars show SD for three independent experiments.
Figure 1. The survival rate of PAO1, Tn5-pruR, and Tn5-PA0065 in a killing assay using biapenem (32 mg/L) and a combination of biapenem and autoinducer analog-1 (AIA-1) (32 mg/L). Error bars show SD for three independent experiments.
Antibiotics 11 00773 g001
Figure 2. Killing effect of antibiotics or a combination of antibiotics and AIA-1 on PAO1 and deletion mutants. Survival rate of PAO1 and deletion mutants in a (A) biapenem killing assay, (B) levofloxacin killing assay, and (C) tobramycin killing assay. Error bars show SD for three independent experiments.
Figure 2. Killing effect of antibiotics or a combination of antibiotics and AIA-1 on PAO1 and deletion mutants. Survival rate of PAO1 and deletion mutants in a (A) biapenem killing assay, (B) levofloxacin killing assay, and (C) tobramycin killing assay. Error bars show SD for three independent experiments.
Antibiotics 11 00773 g002
Figure 3. Killing assay with antibiotics and AIA-1 on complemented strains. Killing effect of biapenem and AIA-1 on (A) ΔpruR/pruR, ΔpruR vector control, and PAO1 vector control, and (B) ΔPA0066-65-64/PA0066-65-64, ΔPA0066-65-64 vector control, and PAO1. Killing effect of levofloxacin and AIA-1 on (C) ΔpruR/pruR, ΔpruR vector control, and PAO1 vector control, and (D) ΔPA0066-65-64/PA0066-65-64, ΔPA0066-65-64 vector control, and PAO1. Error bars show SD for three independent experiments.
Figure 3. Killing assay with antibiotics and AIA-1 on complemented strains. Killing effect of biapenem and AIA-1 on (A) ΔpruR/pruR, ΔpruR vector control, and PAO1 vector control, and (B) ΔPA0066-65-64/PA0066-65-64, ΔPA0066-65-64 vector control, and PAO1. Killing effect of levofloxacin and AIA-1 on (C) ΔpruR/pruR, ΔpruR vector control, and PAO1 vector control, and (D) ΔPA0066-65-64/PA0066-65-64, ΔPA0066-65-64 vector control, and PAO1. Error bars show SD for three independent experiments.
Antibiotics 11 00773 g003
Figure 4. Expression of (A) pruR and (B) PA0066-65-64 in PAO1 after 8 h of exposure to biapenem, AIA-1, and combination of both, and (C) expression of rpoS in deletion mutants following 12-h culture, gene expression was normalized to rpsL, n = 3, * p < 0.05, ** p < 0.01, *** p < 0.001.
Figure 4. Expression of (A) pruR and (B) PA0066-65-64 in PAO1 after 8 h of exposure to biapenem, AIA-1, and combination of both, and (C) expression of rpoS in deletion mutants following 12-h culture, gene expression was normalized to rpsL, n = 3, * p < 0.05, ** p < 0.01, *** p < 0.001.
Antibiotics 11 00773 g004
Table 1. Minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) of AIA-1 and various antibiotics to ΔpruR and ΔPA0066-65-64.
Table 1. Minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) of AIA-1 and various antibiotics to ΔpruR and ΔPA0066-65-64.
StrainBiapenemLevofloxacinTobramycinAIA-1
MIC
(mg/L)
MBC
(mg/L)
MIC
(mg/L)
MBC
(mg/L)
MIC
(mg/L)
MBC
(mg/L)
MIC
(mg/L)
MBC
(mg/L)
PAO10.510.512464128
Tn5-pruR0.510.51486464
Tn5-PA00650.520.51486464
ΔpruR0.50.50.51226464
ΔPA0066-65-640.510.51226464
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Pahlevi, M.R.; Murakami, K.; Hiroshima, Y.; Murakami, A.; Fujii, H. pruR and PA0065 Genes Are Responsible for Decreasing Antibiotic Tolerance by Autoinducer Analog-1 (AIA-1) in Pseudomonas aeruginosa. Antibiotics 2022, 11, 773. https://doi.org/10.3390/antibiotics11060773

AMA Style

Pahlevi MR, Murakami K, Hiroshima Y, Murakami A, Fujii H. pruR and PA0065 Genes Are Responsible for Decreasing Antibiotic Tolerance by Autoinducer Analog-1 (AIA-1) in Pseudomonas aeruginosa. Antibiotics. 2022; 11(6):773. https://doi.org/10.3390/antibiotics11060773

Chicago/Turabian Style

Pahlevi, Muhammad Reza, Keiji Murakami, Yuka Hiroshima, Akikazu Murakami, and Hideki Fujii. 2022. "pruR and PA0065 Genes Are Responsible for Decreasing Antibiotic Tolerance by Autoinducer Analog-1 (AIA-1) in Pseudomonas aeruginosa" Antibiotics 11, no. 6: 773. https://doi.org/10.3390/antibiotics11060773

APA Style

Pahlevi, M. R., Murakami, K., Hiroshima, Y., Murakami, A., & Fujii, H. (2022). pruR and PA0065 Genes Are Responsible for Decreasing Antibiotic Tolerance by Autoinducer Analog-1 (AIA-1) in Pseudomonas aeruginosa. Antibiotics, 11(6), 773. https://doi.org/10.3390/antibiotics11060773

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop